Abstract:
The purpose of this project is to describe the development of e-commerce websites in
today’s world. Our project is based on machine learning to an e-commerce website.
Ecommerce (or electronic commerce) is the buying and selling of goods or services
on the Internet. It encompasses a wide variety of data, systems and tools for online
buyers and sellers, including mobile shopping and online payment encryption.
Nowadays it’s better to use e-commerce websites for selling and buying purpose
because of its ease and accessibility to everyone. Almost every other person have
mobile and internet connection. They can use this for better purpose by making their
life easy. E-commerce gives personality and value to your business. You can sell and
buy 24 hours in a day. It’s an ideal way to innovate your brand nowadays. The sheer
accessibility of ecommerce has transformed shopping for both consumers and
businesses. Now, customers can buy almost anything — anytime, anywhere, and on
any device. Today's consumers expect this as a fundamental component of the online
shopping experience. We have implemented machine learning in our e-commerce
website. Through machine learning we can save ourselves from fraud. We are
applying fraud detection techniques in our e-commerce website. We have used
Django as our framework for this project. Fraud detection is very helpful in earning
customer reliance and promotion of a reliable platform. It needs to be improved
where people piss off very easily to an irresponsive website or a simple manipulation.
In order to recover this, we are working on making it more responsive through
Python Django framework and the fraud detection techniques to ensure the security
threats and resolve the reliability issues.
